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Marriott has an exciting opportunity for a Senior Software Engineer – Data and Analytics Technology. This role helps develop our next-generation cloud platform for data, analytics, AI, and machine learning. Appropriate candidates have a passion for data and emerging technologies with a vision for building next generation capabilities and a strong drive for success. In this role you will function as a technical expert and lead engineer for the Data Platform team. You will perform research, analysis, design and development on a wide range of next generation data capabilities and products. You will set technical standards and develop reusable frameworks to ensure consistent and efficient creation of data capabilities and products. You will assume technical ownership of Service Provider deliverables and lead their technical resources to ensure deliverables are of high quality, follow our technical standards & best practices and perform at scale. In addition, you will research emerging AI technologies that will provide future capabilities as well as seek solutions for complex technical issues. You will make decisions on complex, non-routine requests to support analytics based decisioning by Marriott business teams.
Job Responsibility:
Performs complex quantitative and qualitative analyses for service delivery processes and projects
Facilitates achievement of expected deliverables and obligations of Services Providers
Validates completeness of requirements prior to Service Provider solutioning
Ensures that all projects adhere to the established development protocols and business case procedures
Ensures proper coordination with appropriate IT and vendor relations teams
Provides consultation for routine and complex systems development
Ensures early warning to the business stakeholder executives regarding degraded or missed service levels
Coordinates with Application Delivery and Infrastructure teams for deployment and production support activities
Trains and/or mentors other team members, and peers as appropriate
Ability to work liaising with multiple teams to steer projects from inception to successful delivery
Provides financial input on department or project budgets, capital expenditures or other cost/resource estimates as requested
Identifies opportunities to enhance the service delivery processes
Follows all defined IT standards and processes
Maintains a proper balance between business and operational risk
Ability to assess when risks need to be escalated to right channels
Follows the defined project management standards and processes
Validates that Service Providers develop and manage respective aspects of a project plan, including schedules, deliverables, and appropriate metrics
Makes short term plans for the team to effectively utilize resources
Monitors Service Provider outcomes
Reviews estimates of work effort for client project provided by Service Providers for accuracy
Facilitates timely resolution of service delivery problems and minimizes the impact to clients
Requirements:
8+ years’ hands on experience developing large scale data ETL pipelines and applications at enterprise scale
Over four years of experience in technical delivery ownership for large-scale data pipelines and applications on AWS and Snowflake
4+ years’ experience developing data applications and applications on AWS
4+ years’ hands on experience with Snowflake technologies
2+ years’ experience with AWS S3, Lambda, EKS
Strong technical leader with proven ability to lead Service Provider technical resources
Strong communication skills
Bachelor of Science degree in Computer Science or and related Engineering
Nice to have:
Graduate degree in Computer Science or Engineering
Technology certifications in Spark, Snowflake
AWS Solutions Architect or Developer certification
Experience with Airflow, Python, API calls
Experience with Data Governance Tools such as Informatica Enterprise Data Catalog
Hashicorp Tokenization Products
Experience in agile software methodologies
Demonstrated ability to anticipate future data platform opportunities
Technology leadership experience in a sourced environment